{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide_input": false
   },
   "outputs": [],
   "source": [
    "#hide\n",
    "from utils import *"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "[[chapter_cam]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CNN Interpretation with CAM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we know how to build up pretty much anything from scratch, let's use that knowledge to create entirely new (and very useful!) functionality: the *class activation map*. It gives a us some insight into why a CNN made the predictions it did.\n",
    "\n",
    "In the process, we'll learn about one handy feature of PyTorch we haven't seen before, the *hook*, and we'll apply many of the concepts introduced in the rest of the book. If you want to really test out your understanding of the material in this book, after you've finished this chapter, try putting it aside and recreating the ideas here yourself from scratch (no peeking!)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CAM and Hooks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The class activation map (CAM) was introduced by Bolei Zhou et al. in [\"Learning Deep Features for Discriminative Localization\"](https://arxiv.org/abs/1512.04150). It uses the output of the last convolutional layer (just before the average pooling layer) together with the predictions to give us a heatmap visualization of why the model made its decision. This is a useful tool for intepretation.\n",
    "\n",
    "More precisely, at each position of our final convolutional layer, we have as many filters as in the last linear layer. We can therefore compute the dot product of those activations with the final weights to get, for each location on our feature map, the score of the feature that was used to make a decision.\n",
    "\n",
    "We're going to need a way to get access to the activations inside the model while it's training. In PyTorch this can be done with a *hook*. Hooks are PyTorch's equivalent of fastai's callbacks. However, rather than allowing you to inject code into the training loop like a fastai `Learner` callback, hooks allow you to inject code into the forward and backward calculations themselves. We can attach a hook to any layer of the model, and it will be executed when we compute the outputs (forward hook) or during backpropagation (backward hook). A forward hook is a function that takes three things—a module, its input, and its output—and it can perform any behavior you want. (fastai also provides a handy `HookCallback` that we won't cover here, but take a look at the fastai docs; it makes working with hooks a little easier.)\n",
    "\n",
    "To illustrate, we'll use the same cats and dogs model we trained in <<chapter_intro>>:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
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   ],
   "source": [
    "path = untar_data(URLs.PETS)/'images'\n",
    "def is_cat(x): return x[0].isupper()\n",
    "dls = ImageDataLoaders.from_name_func(\n",
    "    path, get_image_files(path), valid_pct=0.2, seed=21,\n",
    "    label_func=is_cat, item_tfms=Resize(224))\n",
    "learn = cnn_learner(dls, resnet34, metrics=error_rate)\n",
    "learn.fine_tune(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start, we'll grab a cat picture and a batch of data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = PILImage.create('images/chapter1_cat_example.jpg')\n",
    "x, = first(dls.test_dl([img]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For CAM we want to store the activations of the last convolutional layer. We put our hook function in a class so it has a state that we can access later, and just store a copy of the output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Hook():\n",
    "    def hook_func(self, m, i, o): self.stored = o.detach().clone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then instantiate a `Hook` and attach it to the layer we want, which is the last layer of the CNN body:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hook_output = Hook()\n",
    "hook = learn.model[0].register_forward_hook(hook_output.hook_func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can grab a batch and feed it through our model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with torch.no_grad(): output = learn.model.eval()(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can access our stored activations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "act = hook_output.stored[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's also double-check our predictions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0.0010, 0.9990]], device='cuda:0')"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "F.softmax(output, dim=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We know `0` (for `False`) is \"dog,\" because the classes are automatically sorted in fastai, bu we can still double-check by looking at `dls.vocab`: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(#2) [False,True]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dls.vocab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, our model is very confident this was a picture of a cat."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To do the dot product of our weight matrix (2 by number of activations) with the activations (batch size by activations by rows by cols), we use a custom `einsum`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 224, 224])"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 7, 7])"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cam_map = torch.einsum('ck,kij->cij', learn.model[1][-1].weight, act)\n",
    "cam_map.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each image in our batch, and for each class, we get a 7×7 feature map that tells us where the activations were higher and where they were lower. This will let us see which areas of the pictures influenced the model's decision.\n",
    "\n",
    "For instance, we can find out which areas made the model decide this animal was a cat (note that we need to `decode` the input `x` since it's been normalized by the `DataLoader`, and we need to cast to `TensorImage` since at the time this book is written PyTorch does not maintain types when indexing—this may be fixed by the time you are reading this):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_dec = TensorImage(dls.train.decode((x,))[0][0])\n",
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map[1].detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The areas in bright yellow correspond to high activations and the areas in purple to low activations. In this case, we can see the head and the front paw were the two main areas that made the model decide it was a picture of a cat.\n",
    "\n",
    "Once you're done with your hook, you should remove it as otherwise it might leak some memory:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's why it's usually a good idea to have the `Hook` class be a *context manager*, registering the hook when you enter it and removing it when you exit. A context manager is a Python construct that calls `__enter__` when the object is created in a `with` clause, and `__exit__` at the end of the `with` clause. For instance, this is how Python handles the `with open(...) as f:` construct that you'll often see for opening files without requiring an explicit `close(f)` at the end. If we define `Hook` as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Hook():\n",
    "    def __init__(self, m):\n",
    "        self.hook = m.register_forward_hook(self.hook_func)   \n",
    "    def hook_func(self, m, i, o): self.stored = o.detach().clone()\n",
    "    def __enter__(self, *args): return self\n",
    "    def __exit__(self, *args): self.hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can safely use it this way:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with Hook(learn.model[0]) as hook:\n",
    "    with torch.no_grad(): output = learn.model.eval()(x.cuda())\n",
    "    act = hook.stored"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "fastai provides this `Hook` class for you, as well as some other handy classes to make working with hooks easier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This method is useful, but only works for the last layer. *Gradient CAM* is a variant that addreses this problem."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gradient CAM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The method we just saw only lets us compute a heatmap with the last activations, since once we have our features, we have to multiply them by the last weight matrix. This won't work for inner layers in the network. A variant introduced in the paper [\"Grad-CAM: Why Did You Say That? Visual Explanations from Deep Networks via Gradient-based Localization\"](https://arxiv.org/abs/1611.07450) in 2016 uses the gradients of the final activation for the desired class. If you remember a little bit about the backward pass, the gradients of the output of the last layer with respect to the input of that layer are equal to the layer weights, since it is a linear layer.\n",
    "\n",
    "With deeper layers, we still want the gradients, but they won't just be equal to the weights anymore. We have to calculate them. The gradients of every layer are calculated for us by PyTorch during the backward pass, but they're not stored (except for tensors where `requires_grad` is `True`). We can, however, register a hook on the backward pass, which PyTorch will give the gradients to as a parameter, so we can store them there. For this we will use a `HookBwd` class that works like `Hook`, but intercepts and stores gradients instead of activations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "class HookBwd():\n",
    "    def __init__(self, m):\n",
    "        self.hook = m.register_backward_hook(self.hook_func)   \n",
    "    def hook_func(self, m, gi, go): self.stored = go[0].detach().clone()\n",
    "    def __enter__(self, *args): return self\n",
    "    def __exit__(self, *args): self.hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then for the class index `1` (for `True`, which is \"cat\") we intercept the features of the last convolutional layer as before, and compute the gradients of the output activations of our class. We can't just call `output.backward()`, because gradients only make sense with respect to a scalar (which is normally our loss) and `output` is a rank-2 tensor. But if we pick a single image (we'll use `0`) and a single class (we'll use `1`), then we *can* calculate the gradients of any weight or activation we like, with respect to that single value, using `output[0,cls].backward()`. Our hook intercepts the gradients that we'll use as weights:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = 1\n",
    "with HookBwd(learn.model[0]) as hookg:\n",
    "    with Hook(learn.model[0]) as hook:\n",
    "        output = learn.model.eval()(x.cuda())\n",
    "        act = hook.stored\n",
    "    output[0,cls].backward()\n",
    "    grad = hookg.stored"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The weights for our Grad-CAM are given by the average of our gradients across the feature map. Then it's exactly the same as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "w = grad[0].mean(dim=[1,2], keepdim=True)\n",
    "cam_map = (w * act[0]).sum(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The novelty with Grad-CAM is that we can use it on any layer. For example, here we use it on the output of the second-to-last ResNet group:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with HookBwd(learn.model[0][-2]) as hookg:\n",
    "    with Hook(learn.model[0][-2]) as hook:\n",
    "        output = learn.model.eval()(x.cuda())\n",
    "        act = hook.stored\n",
    "    output[0,cls].backward()\n",
    "    grad = hookg.stored"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "w = grad[0].mean(dim=[1,2], keepdim=True)\n",
    "cam_map = (w * act[0]).sum(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can now view the activation map for this layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Model interpretation is an area of active research, and we just scraped the surface of what is possible in this brief chapter. Class activation maps give us insight into why a model predicted a certain result by showing the areas of the images that were most responsible for a given prediction. This can help us analyze false positives and figure out what kind of data is missing in our training to avoid them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Questionnaire"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. What is a \"hook\" in PyTorch?\n",
    "1. Which layer does CAM use the outputs of?\n",
    "1. Why does CAM require a hook?\n",
    "1. Look at the source code of the `ActivationStats` class and see how it uses hooks.\n",
    "1. Write a hook that stores the activations of a given layer in a model (without peeking, if possible).\n",
    "1. Why do we call `eval` before getting the activations? Why do we use `no_grad`?\n",
    "1. Use `torch.einsum` to compute the \"dog\" or \"cat\" score of each of the locations in the last activation of the body of the model.\n",
    "1. How do you check which order the categories are in (i.e., the correspondence of index->category)?\n",
    "1. Why are we using `decode` when displaying the input image?\n",
    "1. What is a \"context manager\"? What special methods need to be defined to create one?\n",
    "1. Why can't we use plain CAM for the inner layers of a network?\n",
    "1. Why do we need to register a hook on the backward pass in order to do Grad-CAM?\n",
    "1. Why can't we call `output.backward()` when `output` is a rank-2 tensor of output activations per image per class?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Further Research"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Try removing `keepdim` and see what happens. Look up this parameter in the PyTorch docs. Why do we need it in this notebook?\n",
    "1. Create a notebook like this one, but for NLP, and use it to find which words in a movie review are most significant in assessing the sentiment of a particular movie review."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "jupytext": {
   "split_at_heading": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
